Thomas E. Meigs

1.2k citations
29 papers · 1.1k · h-index 16

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 12
    • Wnt/β-catenin signaling in development and cancer 8
    • Cancer-related gene regulation 5
    • Plant biochemistry and biosynthesis 4
    • Metabolism, Diabetes, and Cancer 3
    • Endoplasmic Reticulum Stress and Disease 3
    • Microtubule and mitosis dynamics 3

Thomas E. Meigs

28 papers receiving 1.0k citations

Peers

Thomas E. Meigs
Comparison fields: 5 of 78
  • Immunology and Allergy 80
  • Cell Biology 232
  • Molecular Biology 845
  • Biochemistry 47
  • Cellular and Molecular Neuroscience 96
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Thomas E. Meigs relative to Robert Erdman United States Robert Erdman's profile →
Citations per field
00.5×3.6×
Robert Erdman · 1×
Citations per year

Countries citing papers authored by Thomas E. Meigs

Since Specialization
Citations

This map shows the geographic impact of Thomas E. Meigs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas E. Meigs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Meigs more than expected).

Fields of papers citing papers by Thomas E. Meigs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Meigs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas E. Meigs. The network helps show where Thomas E. Meigs may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas E. Meigs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas E. Meigs Line = papers co-authored together Thomas E. Meigs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996128
2 2007118
3 1998117
4 2002109
5 2004106
6 1997100
7 200165
8 200143
9 200439
10 200536
11 199231
12 201025
13 200523
14 200721
15 199518
16 200315
17 201413
18 198913
19 201610
20 20088

About Thomas E. Meigs

Thomas E. Meigs is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Allergy and Oncology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Cancer-related gene regulation (5 papers), Plant biochemistry and biosynthesis (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Microtubule and mitosis dynamics (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Immunology and Allergy (80 citations), Cell Biology (232 citations), Molecular Biology (845 citations), Biochemistry (47 citations) and Cellular and Molecular Neuroscience (96 citations). Thomas E. Meigs has collaborated with scholars based in United States, Norway and Singapore. Frequent co-authors include Patrick J. Casey, Robert Simoni, Daniel D. Kaplan, Patrick Kelly, Jennifer L. Glick, Alexander Miron, Robert Brackenbury, Mary Fedor‐Chaiken, R D Simoni and Bradley M. Denker. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Journal of Arachnology, Molecular Pharmacology and Experimental Cell Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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